Teleo, a Havoc company, is a robotics company that transforms construction heavy equipment, including loaders, dozers, excavators, and trucks, into autonomous robots for commercial and defense applications. Our technology enables a single operator to supervise and control multiple machines simultaneously, delivering significant productivity gains while improving operator safety and comfort.

Teleo was founded by a team of experienced technology leaders who previously led the development of Lyft's Self-Driving Car program and Google Street View. Teleo recently announced its merger with Havoc AI, a fast-growing defense technology company developing coordinated fleets of autonomous maritime vessels.

This is a unique opportunity to join a team building technology with real-world impact. You will work on cutting-edge 100,000-pound autonomous robots and engineer complex systems at the intersection of hardware, software, robotics, and AI.

Responsibilities

• Partners with engineering on process design and DFX (DFM/DFA/DFT/DFS) for kit builds, fixtures, work instructions, routers, build sequencing, translating designs into a CM-ready package before handoff

• Owns the handoff from Teleo engineering to the CM: process validation, first-article approval, and clear-to-build sign-off via BRR/MRR (Build/Material Readiness Review), confirming parts, documentation, and ECO status are ready for the CM to execute against

• Own CM performance post-transition: delivery, cost, and quality against target; first line of defense for floor issues, with authority to hold CM shipment pending disposition

• Coordinate ECRs/ECOs between the CM and Teleo engineering; keep build documentation current on both sides

• Monitors on-time delivery and cost at the CM; drives root cause analysis and corrective action on production issues

• Enforce quality (inspection, non-conformance, CAPA) and inventory control (WIP, cycle counts, reconciliation) at the CM

• Oversee finished-goods kitting, correct configuration, packaging, and staging for shipment to a partner site or inventory

• Support NPI and ramp-to-volume; specify and validate tooling/fixtures and test stations (in-line and EOL) for new build stations

• Track yield, cycle time, and scrap/rework rate; drive down variance

Requirements

• Bachelor's degree in Mechanical, Electrical, or Manufacturing Engineering

• 5+ years in manufacturing or process engineering on electro-mechanical hardware that actually ships to the field

• Hands-on with SOP development, box builds, PCB/A, harness and cable assembly manufacturing, and FW/SW flashing

• Comfortable around autonomy systems; integration, test, and validation of sensor/compute hardware (LiDAR, camera, radar, compute)

• Working knowledge of mechanical processes (CNC, casting, sheet metal, powder coating, jigs/fixtures), enough to judge whether a part or process will hold up in the field, and what to flag at the CM's FATP line

• Advanced proficiency interpreting mechanical and electrical designs, with working knowledge of GD&T, tolerance stacking, and basic SPC

• DFM/DFA/DFT experience across NPI, ramp, and scale, able to look at a design and flag manufacturability issues early

• Strong root-cause instincts; can write build docs a CM tech can follow with zero design context

• CM management experience, on-site support and running ECR/ECO across two organizations

• Working knowledge of QMS (ISO 9001, AS9100, MIL-STD), supplier/vendor quality management (incoming inspection, SCAR, vendor scorecards), and inventory control at a CM

• Familiar with CAD (Onshape or similar) and EE design tools (KiCAD, Altium or similar)

• Familiar with ERP/PLM/inventory systems (NetSuite, Ironflow, Odoo, etc.)

• Skilled at using AI tools to accelerate manufacturing workflows automating data review

Bonus Qualifications

• Experience retrofitting or manufacturing autonomous vehicles, off-highway, construction, defense equipment

• Experience with C++ and Python for coding, scripting, debugging, building UIs, building test benches, and troubleshooting

150000 - 180000 USD a year